Fit, not ranking
A match percentage is about the user’s criteria, not a universal adviser score.
Advisedly is being built as a decision layer between people looking for financial help and regulated professionals - combining discovery, checking, comparison and clearer fee information.
These principles shape the product, data model and eventual commercial model.
A match percentage is about the user’s criteria, not a universal adviser score.
Official regulatory data, adviser-supplied information and public sources remain clearly labelled.
Specific fees appear only when supplied or publicly verified. Generic calculators stay separate.
People should be able to explore before giving contact details and choose who receives them.
Each stage should answer a different question rather than pushing everyone straight into a lead form.
Start with need, client type, asset range, meeting preference and location.
Understand regulatory and professional facts and where the data came from.
Put structured profile information and fees side by side without declaring a universal winner.
Request an introduction only when the consumer decides who should receive their details.
Advisedly uses a broad location catalogue behind the scenes while keeping the public experience simple: national → region → useful local hubs. Specialist pages add a second discovery axis based on what the consumer actually needs.
If Advisedly later charges advisers for membership, profiles, introductions or other services, that relationship should be disclosed. Commercial terms should not silently convert a weaker consumer fit into a stronger match.
The product should remain useful even when an adviser has not paid to appear.
Read matching methodology